face_match

THE RISK

Low Risk

Why face_match needs a policy

face_match is a biometric analysis and verification tool that reads and compares two images (selfie and document photo) to produce a match result. It does not create, modify, delete, execute commands, or move funds. The action is purely analytical/retrieval-based.

From the tool's definition Tool performs '1:1 comparison' and 'returns a similarity score' and 'match verdict' — it retrieves and compares biometric data without modifying, creating, or deleting any records. No side effects beyond reading/analyzing.

Documented attack patterns abuse exactly the kind of access face_match gives an agent:

POLICY

How to control face_match

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for face_match:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "face_match": {}
  }
}

face_match is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Mcp Afip — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about face_match

What does the face_match tool do? +

IDPay: biometric 1:1 comparison between a live selfie and a document photo. Returns a similarity score (0-1) and a boolean match verdict at Unico. It is categorised as a Read tool in the Mcp Afip MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on face_match? +

Register the Mcp Afip MCP server in PolicyLayer and add a rule for face_match: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Afip. Nothing to install.

What risk level is face_match? +

face_match is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit face_match? +

Yes. Add a rate_limit block to the face_match rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block face_match completely? +

Set action: deny in the PolicyLayer policy for face_match. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides face_match? +

face_match is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Afip tool call.

Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →